Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression
In this study, the crude oil spot price is forecast using Bayesian symbolic regression (BSR). In particular, the initial parameters specification of BSR is analysed. Contrary to the conventional approach to symbolic regression, which is based on genetic programming methods, BSR applies Bayesian algo...
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| Hoofdauteur: | |
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| Formaat: | Artigo |
| Taal: | Inglês |
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MDPI AG
2022-12-01
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| Reeks: | Energies |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/1996-1073/16/1/4 |
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